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Knowing how campus-based students engage in key online and general learning practices can play a central role in managing and developing university education. Knowledge in this area is limited, however, despite recent advances in student engagement research, and widespread adoption of online learning systems. This paper responds to the need to develop such knowledge, by documenting the development and application of a typological model of online and general campus-based student engagement. It reports the statistical analyses used to develop the model, and analyses the model's structure and substance. The model is exemplified by considering what it says about how increasingly powerful and pervasive online technologies might be leveraged to enhance campus-based student engagement. (Contains 4 tables and 3 figures.)

This paper identifies quantifiable indicators that might enhance the national evaluation of learning and teaching in Australian higher education. It begins by setting out a framework suitable for guiding the identification and selection of indicators. After a brief critical review of current indicator possibilities, it defines a number of possible indicators that might be developed. The paper works from the premise that as greater significance is placed on the outcomes of measurement, we need to place greater significance on measurement itself. It is imperative that appropriate and contemporary measures are used, and that evaluations are developed in ways that ensure that the basic availability of data does not dictate the approach. (Contains 2 tables.)

National and international rankings of institutional performance are playing a growing role in contemporary higher education. It is critical that researchers develop pragmatic, educationally sensitive and methodologically informed approaches for managing this aspect of higher education. This paper compares three approaches for modelling key indicators which underpin a national evaluation of university education in Australia: rankings of aggregate institutional performance; comparisons of institutional change over time; and performance variations within fields of education. The results show that simple institution-level aggregations are misleading, and that contemporary analytical methods must be used to account for the influence of fields of education. More broadly, the findings expose the need for a more robust methodological development of university rankings.

As the principles and practices of quality assurance are further implanted in higher education, methodological questions about how to understand and manage quality become increasingly important. This paper argues that quality assurance determinations need to take account of how and to what extent students engage with activities that are likely to lead to productive learning. The idea of student engagement is introduced. A critical review of current possibilities for determining the quality of university education in Australia exposes limitations of quality assurance systems that fail to take account of student engagement. The review provides a basis for suggesting the broad relevance of student engagement to quality assurance. A sketch is provided of an approach for factoring student engagement data into quality assurance determinations.

The rapid uptake of campus-wide Learning Management Systems (LMS) is changing the character of the on-campus learning experience. The trend towards LMS as an adjunct to traditional learning modes has been the subject of little research beyond technical analyses of alternative software systems. Drawing on Australian experience, this paper presents a broad, critical examination of the potential impact of these online systems on teaching and learning in universities. It discusses in particular the possible effects of LMS on teaching practices, on student engagement, on the nature of academic work and on the control over academic knowledge.

In one Australian state, a concerted effort has been made to impact the literacy achievement of students during the early years of schooling, especially those students attending primary schools in identified least-advantaged areas. While these initiatives have been successful, their impact has been enhanced by the development of print-enriched play environments during the pre-school years. Data are reported here from the Preschool Literacy Project (PLP) that followed approximately 1000 students, in treatment and control groups, through into their first two years in school. The analysis of residual gain scores identifies the reciprocal relationship between spoken and written language, also the increasing Text Level achievement for students who entered school with enhanced conceptual development in relation to literacy.

Universities in Australia have been using the course experience questionnaire (CEQ) for a number of years to measure the quality of teaching. Recently, there have been increasing calls for a broader perspective that takes into account the potential of non-classroom context influences on the student learning experience. This project undertook to develop a broader instrument that added a range of scales that could be linked to the existing instrument. A sample of almost 4000 students responded to the trial instrument. The trials suggest that the existing "good teaching", "generic skills", "clear goals", "appropriate workload" and "appropriate assessment" scales can be supplemented by the following additional scales: "student support", "learning resources", "learning community", "graduate qualities" and "intellectual motivation". These new scales were shown through Rasch analyses to be psychometrically reliable and accurate. (Contains 1 figure, 1 table and 1 note.)

People need to better understand the influence of learning management systems (LMSs) on student engagement in order to use these powerful technologies to improve campus-based education. Over the past 10 years, online learning management has been adopted by many campus-based institutions, becoming almost ubiquitous in many parts of the world. These systems have profound yet uncertain implications for university education. They have the capacity to influence the management of academic programs, teaching practices, and the way students engage with key aspects of their university experience. This article suggests an approach for monitoring how the systems may influence students' engagement with their study and how they might be used to improve campus-based education. (Contains 1 endnote.)